The main idea of this project is to create a sensor-based system for the detection of potholes and humps on roads using IoT technology. The project aims to deploy sensors capable of identifying road irregularities, with an integrated IoT system for instant notification alerts. The objective is to improve road safety and maintenance by providing real-time information to relevant authorities, enabling prompt intervention and enhancing the overall quality of road infrastructure
This project presents a sensor-based IoT system for the automated detection and alerting of potholes, humps, and obstacles on roads using a robotic platform. The system integrates an Arduino microcontroller with a webcam, GSM module, buzzer, ultrasonic sensor, GPS module, Bluetooth module, and NodeMCU. A webcam, in combination with Python-based image processing, detects potholes and road humps in real time. Upon detection, the system activates a buzzer for immediate alert and sends a notification via the GSM module. The ultrasonic sensor detects physical obstacles, triggering the same alert mechanism. The robot’s movement is remotely controlled via Bluetooth, allowing manual navigation. Furthermore, the GPS module captures the latitude and longitude of detected anomalies, which are uploaded to the ThingSpeak IoT cloud platform via NodeMCU for remote monitoring and data visualization. This comprehensive IoT-based solution enhances road safety through real-time detection, instant alerts, and geolocation-based tracking of road hazards.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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